Principal Product Manager, Lambda
MLOps Platform
$300-385k
+ Equity
More information about location
4+ days a week in office
Deep learning infrastructure company
Open for applications
Deep learning infrastructure company
201-500 employees
Open for applications
$300-385k
+ Equity
More information about location
4+ days a week in office
201-500 employees
Company mission
To accelerate human progress through computation.
Role
Who you are
- You have 10+ years of product management experience and 5+ years in the trenches with ML model builders
- You have personally led a new product, from initial conception to commercial success
- You already deeply understand how model builders debug, iterate, experiment, and suffer in the real world
- You’re technical enough that the engineers you work with regularly forget you're a PM
- You’re already ahead of the curve in AI – keeping up with emerging trends, techniques, tools, and research
- You have a strong technical foundation – CS, Engineering, Math degree (or equivalent experience)
- You ship the right thing fast and own outcomes
- You do whatever it takes to get the job done
- You find crisp paths forward through uncertainty, ambiguity, constraints, and obstacles
- You quickly identify what truly matters and make hard trade-offs without hesitation
- Teams leave meetings with you energized, aligned, and fully clear on next steps
- You thrive in high-stakes, fast-moving environments
- You can mobilize teams from standstill to full-speed execution
What the job involves
- We're looking for a Principal Product Manager to lead Lambda’s MLOps platform – from strategy formation through implementation, launch, and iterative improvement
- Your job is to eliminate the friction ML teams face when developing, deploying, and maintaining models
- You’ll tackle problems around data pipelines, experiment reproducibility, deployment complexity, monitoring failures, and model drift
- Your success depends on your ability to deeply understand real-world ML workflows, collaborate effectively with engineers and researchers, and translate high degrees of uncertainty and ambiguity into actionable plans
- Own strategy and roadmap for the MLOps Platform layer of Lambda’s public cloud
- Own revenue growth, profitability, adoption, and customer satisfaction
- Drive execution across engineering, support, sale, marketing, and leadership
- Ensure we’re ahead of the curve on emerging trends, research, competition, and tools
- Develop partnerships with key AI ecosystem players to enhance our MLOps capabilities and market reach
- Define key performance metrics and success benchmarks to measure, optimize, and demonstrate Lambda’s leadership in operationalizing machine learning at scale
Our take
Lambda is a leading provider of deep learning GPU cloud services and computing hardware, founded to aid in providing a solution to the difficult problem of teaching machines how to see and learn.
Their customers include Apple, Intel, Microsoft, Linkedin, and Fortune 500 companies like Microsoft and Amazon Research, so it's no coincidence that Lambda GPU Cloud ranks number three on a google search for 'GPU cloud', behind only NVIDIA and Google itself.
With investments from 1517, Gradient Ventures, Bloomberg Beta, and Razer, Lambda intends on using the capital to expand its cloud and software, engineering teams. As well as looking to ramp up more investments into its GPU cloud, the company is constantly working to improve its hardware products.
Freddie
Company Specialist at Welcome to the Jungle
Insights
26% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Feb 2025
$480m
SERIES D
Feb 2024
$320m
SERIES C
Total funding: $863m
Company benefits
- 100% remote team
- Healthcare, dental, vision, work-from-home Internet, and phone stipend.
- Vacation Plan: We offer flexible PTO to all team members as well as five sick days and twelve paid holidays each year.
- Paid Leave: Team members will receive financial security during some of life's more stressful moments, should they experience those. Offering paid parental leave, paid personal medical leave, and paid caregiver leave.
Company HQ
Dogpatch, San Francisco, CA
Leadership
Michael Balaban
(Co-Founder)Graduating with a BS in Discrete Mathematics and Computer Science, Michael is experienced in software engineering and previously worked for Nextdoor as part of its infrastructure team.
Salary benchmarks
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